Response surface methodology-based parameter optimization of single-cylinder diesel engine fueled with graphene oxide dosed sesame oil/diesel fuel blend

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dc.authoridUslu, Samet/0000-0001-9118-5108
dc.contributor.authorSimsek, Suleyman
dc.contributor.authorUslu, Samet
dc.contributor.authorSimsek, Hatice
dc.date.accessioned2024-09-29T15:55:17Z
dc.date.available2024-09-29T15:55:17Z
dc.date.issued2022
dc.departmentKarabük Üniversitesien_US
dc.description.abstractIn this study, an experimental study was carried out to determine the effects of adding different amounts of graphene oxide (GO) on engine characteristics to a single-cylinder diesel engine operating with 30% sesame oil (SO) + 70% diesel fuel mixture. After that, an optimization was carried out with response surface methodology (RSM) to determine optimum operating conditions at different engine loads. Experimental results showed that GO nanoparticle is a good addition for diesel-biodiesel blends to enhance the performance and reduce emissions. The most appropriate amount of GO is between 75 ppm and 100 ppm for the performance characteristics. The optimal amount of GO for power is 75 ppm, while for brake-specific fuel consumption (BSFC) and exhaust gas temperature (EGT) it is 100 ppm. In addition, the maximum GO amount of 100 ppm is the most suitable for carbon monoxide (CO) and hydrocarbon (HC), and 75 ppm GO amount is the most appropriate for nitrogen oxides (NOx). On the other hand, optimization results revealed that 100 ppm GO at 1950 W load was optimum conditions for all responses. The responses that emerged under optimum conditions were 1746.77 W, 968.73 g/ kWh, 259.8 0C, 0.0603%, 23.13 ppm and 185.61 ppm for power, BSFC, EGT, CO, HC, and NOx, respectively. According to the validation study, the error between the optimum and experimental results is 4.69% maximum. According to the findings of study, it can be concluded that the RSM model can successfully model a singlecylinder diesel engine and thus save time, and money.en_US
dc.identifier.doi10.1016/j.egyai.2022.100200
dc.identifier.issn2666-5468
dc.identifier.scopus2-s2.0-85137616973en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1016/j.egyai.2022.100200
dc.identifier.urihttps://hdl.handle.net/20.500.14619/4570
dc.identifier.volume10en_US
dc.identifier.wosWOS:001062456100004en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofEnergy and Aien_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectGraphene oxideen_US
dc.subjectNanoparticleen_US
dc.subjectSesame oilen_US
dc.subjectBiodieselen_US
dc.subjectDieselen_US
dc.subjectRSMen_US
dc.titleResponse surface methodology-based parameter optimization of single-cylinder diesel engine fueled with graphene oxide dosed sesame oil/diesel fuel blenden_US
dc.typeArticleen_US

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